Comparison of Unit-Level Small Area Estimation Modeling Approaches for Survey Data Under Informative Sampling

Abstract Unit-level modeling strategies offer many advantages relative to the area-level models that are most often used in context of small area estimation. For example, unit-level aggregate naturally, allowing for estimates at any desired resolution, and also greater precision cases. We compare a variety methods available literature related Specifically, provide insight into differences between methods, we conduct simulation study compares several general approaches. In addition, further illustrated through an application American Community Survey.